Data Engineer

🕒 6 days ago

🇨🇦 Canada – Remote

💵 $89.9k - $123.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Innovation Federal Credit Union

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏦 Banking

💸 Finance

Banking • Finance

Innovation Federal Credit Union is a Canadian member-owned financial cooperative that provides retail banking and lending products and digital financial services to individuals and businesses. It offers no-fee chequing and savings accounts, TFSAs, GICs, RRSPs, mortgages, personal loans, lines of credit, credit cards, and a mobile banking app, alongside member rewards, profit-sharing cash dividends, and community-focused grants, scholarships, and sponsorships.

📋 Description

• Integrate data by building data pipelines and supporting data architecture on Azure • Support BI developers, database architects, data analysts, and data scientists on data initiatives • Ensure data is accurate, accessible, secure, and fit for purpose • Design and build reusable data extraction, transformation, and loading processes • Develop Modern Data Warehouse solutions using Azure Data Factory, Azure Data Lake, Azure Synapse, and Databricks • Optimize data warehouse performance, data models, and reusable data structures • Develop DevOps CI/CD, automation, and deployment processes • Participate in metadata management and data governance initiatives • Solve complex data challenges and deliver insights supporting organizational goals • Work with Executive, Product, Data, and Design teams on technical data issues and infrastructure needs • Create data tools for analytics and data science teams • Collaborate with data and analytics experts to improve data system functionality

🎯 Requirements

• Completion of a post-secondary diploma or degree in Computer Science, Data Analytics, Information Systems, or a related field • Microsoft Azure Data Engineer Associate Certification preferred • Advanced working SQL knowledge • Experience working with relational databases, query authoring (SQL), and performance tuning • Experience building and optimizing big data pipelines, architectures, and data sets with Azure Data Factory • Hands-on experience with Azure Synapse • Experience performing root cause analysis on internal and external data and processes • Strong analytic skills with unstructured datasets • Some experience with Python • Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management • Knowledge of SQL and relational databases • Knowledge of data integration and transformation concepts • Power BI or similar analytics tools • Microsoft 365 ecosystem; Excel, Teams, and Power Platform exposure an asset • Ability to write clear documentation and technical notes

🏖️ Benefits

• 7% employer-matched pension • Extended health and wellness benefits • Employee and family assistance program • Preferred staff loan rates • Commitment to Community: $1.1 million invested in local organizations last year • Diversity & Inclusion initiatives

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